Hierarchical 2.5-D Scene Alignment for Change Detection With Large Viewpoint Differences

Wouw, Dennis W. J. M. van de; Dubbelman, Gijs

doi:10.1109/lra.2016.2520561

Cited by 12 publications

(9 citation statements)

References 15 publications

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“…Van de Wouw et al 20,21 proposed a 2.5-D registration approach to avoid parallax effects, when aligning images with typical driving-related viewpoint differences. For this purpose, they build a simplified 3-D model of the historical scene, which is transformed to the 3-D coordinate frame of the live camera.…”

Section: 5-d Change Detectionmentioning

confidence: 99%

“…For the image registration, we adopt the 2.5-D hierarchical alignment as introduced by Wouw et al 20 This approach synthesizes the historical scene as if viewed from the live camera. First, the 3-D transformation between the live and historical view is estimated, using an existing feature-based method.…”

Section: Image Registrationmentioning

confidence: 99%

“…This initial registration is further refined using local template matching. 20 Figure 9 shows a live image and the corresponding registered historical reference image.…”

Section: Image Registrationmentioning

confidence: 99%

“…In the original change detection systems, 5,20 RGB differencing in combination with adaptive thresholding is employed to obtain a binary change mask, where the adaptive thresholding is based on a global threshold. However, differencing on the RGB images directly in combination with a global threshold was found to be too sensitive to local illumination changes, such as shadows.…”

Section: -D Change Detectionmentioning

confidence: 99%

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Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

et al. 2019

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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Section: 5-d Change Detectionmentioning

confidence: 99%

Section: Image Registrationmentioning

confidence: 99%

“…This initial registration is further refined using local template matching. 20 Figure 9 shows a live image and the corresponding registered historical reference image.…”

Section: Image Registrationmentioning

confidence: 99%

Section: -D Change Detectionmentioning

confidence: 99%

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Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

et al. 2019

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“…The videos are acquired from a moving ground vehicle. Image alignment is performed using the registration approach of [8] (to be published, earlier version: [11]). This approach consists of a processing chain using GPS-based image retrieval, depth image generation from stereo cameras, and image alignment based on both features and depth information.…”

Section: Introductionmentioning

confidence: 99%

ECDNet: Efficient Siamese Convolutional Network for Real-Time Small Object Change Detection from Ground Vehicles

Klomp¹,

Wouw²,

B.V.³

et al. 2019

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DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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Perceptual Loss for Robust Unsupervised Homography Estimation

Koguciuk¹,

Zonooz²

2021

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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Hierarchical 2.5-D Scene Alignment for Change Detection With Large Viewpoint Differences

Cited by 12 publications

References 15 publications

Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

ECDNet: Efficient Siamese Convolutional Network for Real-Time Small Object Change Detection from Ground Vehicles

Perceptual Loss for Robust Unsupervised Homography Estimation

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